ArticleAmerican journal of translational research2026
Predictive value of Index of Cardiac Electrophysiological Balance (ICEB) for ischemia-reperfusion injury following coronary artery angioplasty.
Article in American journal of translational research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
objectiveTo evaluate the predictive value of the Index of Cardiac Electrophysiological Balance (ICEB) for ischemia-reperfusion injury (IRI) following coronary artery angioplasty.
methodsThe retrospective study analyzed data from 138 patients who underwent coronary artery angioplasty from January 2024 and December 2025. ICEB was calculated as the ratio of the QT interval to the QRS duration (QT/QRS). Patients were divided into an IRI (n = 65) and a Non-IRI (n = 73) group based on the presence or absence of clinical and laboratory evidence of IRI following the procedure. Cardiac biomarkers, electrocardiographic findings, renal function indices, coagulation values, inflammatory markers, and ICEB values were compared between the two groups. Logistic regression and receiver operating characteristic (ROC) analyses were conducted to assess the relationship between the measured indicators and the occurrence of IRI.
resultsICEB values, Troponin I, creatine kinase-MB (CK-MB) relative index, ST-segment elevation, serum creatinine, blood urea nitrogen, cystatin C, prothrombin time, D-dimer levels, fibrinogen levels, white blood cell (WBC) levels, neutrophil-to-lymphocyte ratio (NLR), and C-reactive protein (CRP) levels were significantly associated with IRI (P < 0.05). ROC analysis showed that ICEB and ST-segment elevation exhibited favorable sensitivity and specificity and were among the strongest predictors of IRI.
conclusionICEB, a non-invasive electrocardiographic marker reflecting ventricular repolarization-depolarization balance, may strongly predict IRI following coronary artery angioplasty. Assessment of ICEB may facilitate the early identification of patients at high-risk for IRI, thereby improving risk stratification and potentially guiding perioperative management to reduce IRI-related adverse outcomes.
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